Automatic Road Change Detection and GIS Updating from High Spatial Remotely-Sensed Imagery

被引：4

作者：

ZHANG Qiaoping DepartmentofGeomaticsEngineering

TheUniversityofCalgary

Calgary

Alberta

Canada. Isabelle Couloigner

机构：

来源：

Geo-Spatial Information Science | 2004年 / 02期

关键词：

road extraction; change detection; updating; feature matching; conflation;

D O I：

暂无

中图分类号：

P208 [测绘数据库与信息系统];

学科分类号：

070503 ; 081603 ; 0818 ; 081802 ;

摘要：

This paper presents a framework for road network change detection in order to update the Canadian National Topographic DataBase (NTDB). The methodology has been developed on the basis of road extraction from IRS\|pan images (with a 5.8 m spatial resolution) by using a wavelet approach. The feature matching and conflation techniques are used to road change detection and updating. Elementary experiments have showed that the proposed framework could be used for developing an operational road database updating system.

引用

页码：89 / 95+107 +107

页数：8

共 3 条

[1] Automatic extraction of roads from aerial images based on scale space and snakes [J].